Skip to main content
SpringerLink
Log in

Simulation-Based CO2e Footprint Analysis of Electric Trucks in the Animal Feed Distribution

  • Conference paper
  • First Online:
Dynamics in Logistics (LDIC 2024)

Part of the book series: Lecture Notes in Logistics ((LNLO))

Included in the following conference series:

  • 122 Accesses

Abstract

Animal feed supply networks heavily rely on just-in-time deliveries between raw material producers, retailers, manufacturers, and customers. Accordingly, transportation contributes largely to this industry’s CO2e footprint. This article extends an existing simulation model with capabilities to track the CO2e footprint of individual products across the supply network. It further integrates the capability to simulate the use of electric transport vehicles. This article presents a simulation study to investigate using electric trucks instead of diesel trucks in terms of CO2e and kilometers traveled. The results show that the animal feed distribution is particularly suitable for electric vehicles due to the comparably localized area covered by these supply networks and can achieve reductions of up to 70% CO2e for a well-utilized fleet.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Agrarheute: Tierfutter: Landwirte kaufen am liebsten beim Landhandel (2014). http://www.agrarheute.com/management/finanzen/tierfutter-landwirte-kaufen-liebsten-beim-landhandel-454529. Accessed 04 Sep 2023

  2. Annosi, M.C., Brunetta, F., Bimbo, F., Kostoula, M.: Digitalization within food supply chains to prevent food waste. Drivers, barriers and collaboration practices. Ind. Mark. Manag. 93, 208–220 (2021)

    Google Scholar 

  3. Bohmerle, S.: Bericht zur Markt- und Versorgungslage: Futtermittel 2020. Technical report, Bundesanstalt für Landwirtschaft und Ernährung (2020). http://www.ble.de/DE/Themen/Landwirtschaft/Kritische-Infrastruktur/MarktVersorgung/Versorgungslage_node.html. Accessed 04 Sep 2023

  4. Dumas, Y., Desrosiers, J., Soumis, F.: The pickup and delivery problem with time windows. Eur. J. Oper. Res. 54(1), 7–22 (1991)

    Article  MathSciNet  Google Scholar 

  5. DVT: Futtermittel und Tierernährung - ein (ge)wichtiger Wirtschaftsbereich (2022). http://www.dvtiernahrung.de. Accessed 04 Sep 2023

  6. E-Control: Power labelling and disclosure. online (2011). http://www.e-control.at/en/industrie/oeko-energie/stromkennzeichnung. Accessed 04 Sep 2023

  7. FEFAC: Feed & Food 2020. Technical report, The European Feed Manufacturers’ Federation (2021). http://fefac.eu/wp-content/uploads/2021/03/FF_2020_Final.pdf. Accessed 04 Sep 2023

  8. Josera Agrar: Weidehaltung für Kühe (2022). http://www.josera-agrar.de/ratgeber-themen/stallmanagement/weidehaltung-fuer-kuehe/. Accessed 04 Sep 2023

  9. Leenstra, F.: Local feed resources for poultry. In: Ben Salem, H., López-Francos, A. (eds.) Feeding and Management Strategies to Improve Livestock Productivity, Welfare and Product Quality under Climate Change, pp. 253–258. No. 107 in Options Méditerranéennes : Série A. Séminaires Méditerranéens, CIHEAM, Zaragoza (2013). http://om.ciheam.org/om/pdf/a107/00007045.pdf. Accessed 04 Sep 2023

  10. Rippel, D., Lütjen, M., Freitag, M.: Simulation-based order management for the animal feed industry. In: Feng, B., et al. (eds.) Proceedings of the 2022 Winter Simulation Conference, p. 11. IEEE, New York (2022)

    Google Scholar 

  11. Rippel, D., Redecker, M.A., Lütjen, M., Decker, A., Freitag, M., Thoben, K.D.: Simulating the energy consumption of machines in compound feed manufacturing for investment decisions. In: Wenzel, S., Peter, T. (eds.) Proceedings of the Simulation in Produktion und Logistik 2017, pp. 79–88. Kassel University Press, Kassel (2017)

    Google Scholar 

  12. SCHIGmbH: Spezifische Energieeffizienz-Analyse des Schienenverkehrs. Technical report, Austrian Schieneninfrastruktur-Dienstleistungsgesellschaft mbH (2022). http://www.schig.com/spezifische-energieeffizienzanalyse-des-schienenverkehrs. Accessed 04 Sep 2023

  13. Schmied, M., Knorr, W.: Berechnung von Treibhausgasemissionen in Spedition und Logistik gemäß DIN EN 16258. DSLV Deutscher Speditionsund Logistikverband e.V., Bonn (2013)

    Google Scholar 

  14. Trapp, M., Luttermann, S., Rippel, D., Kotzab, H., Freitag, M.: Modeling individualized sustainable last mile logistics, pp. 277–293. In: Freitag, M., Kotzab, H., Megow, N. (eds.) Dynamics in Logistics. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88662-2_13

  15. Wajszczuk, K.: The role and importance of logistics in agri-food supply chains: an overview of empirical findings. Logist. Transp. 30(2), 47–56 (2016)

    Google Scholar 

Download references

Acknowledgment

This work is part of the research project “XCeedFeed - Platform for optimized, automated, and intelligent processes to order and distribute compound-feed and for the re-supply of silos”, funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK), funding code 16KN076237.

Moreover, we want to thank our industrial partner, avency GmbH for their support and great cooperation with this research project.

Author information

Authors and Affiliations

  1. BIBA - Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Hochschulring 20, 28359, Bremen, Germany

    Daniel Rippel, Michael Lütjen & Michael Freitag

  2. Faculty of Production Engineering, University of Bremen, Bibliothekstraße 1, 28359, Bremen, Germany

    Michael Freitag

Authors
  1. Daniel Rippel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Lütjen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael Freitag
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel Rippel .

Editor information

Editors and Affiliations

  1. Production Systems and Logistics, University of Bremen, Bremen, Germany

    Michael Freitag

  2. Global Supply Chain Management, University of Bremen, Bremen, Germany

    Aseem Kinra

  3. Crowley Center for Transportation and Logistics, University of North Florida, Jacksonville, FL, USA

    Herbert Kotzab

  4. Combinatorial Optimization and Logistics, University of Bremen, Bremen, Germany

    Nicole Megow

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rippel, D., Lütjen, M., Freitag, M. (2024). Simulation-Based CO2e Footprint Analysis of Electric Trucks in the Animal Feed Distribution. In: Freitag, M., Kinra, A., Kotzab, H., Megow, N. (eds) Dynamics in Logistics. LDIC 2024. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-031-56826-8_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56826-8_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56825-1

  • Online ISBN: 978-3-031-56826-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation